Literature DB >> 29408733

Bioinformatics analysis of non-synonymous variants in the KLF genes related to cardiac diseases.

Katyana Kaline Silva Ferreira1, Enéas Ricardo de Morais Gomes2, José Luiz de Lima Filho3, Carlos Henrique Madeiros Castelletti4, Danyelly Bruneska Gondim Martins5.   

Abstract

Kruppel-like Factors (KLF) are responsible for regulating many genes involved in physiological and pathological processes. They are characterized by three conserved zinc-fingers in the DNA-binding domain, wherein mutations could affect the binding efficiency and transcription regulation. This study aimed to perform bioinformatics analysis to determine the most deleterious non-synonymous variants in KLFs involved in cardiac development and diseases, and their effects over the protein structure and stability. Eight hundred and fifty non-synonymous variants were found in seven KLFs related to cardiac diseases. Seventeen algorithms were used to predict the effect of selected variants over the structure and function of seven KLFs. The Top3 variants were selected in each category of conserved and non-conserved residues in the zinc-finger (ZF) domain. KLF5 p.Cys410Phe was the only variant predicted as deleterious in all algorithms, occurring in a conserved residue of zinc ion interaction. KLF15 p.Arg364Pro was the only variant predicted to affect the DNA-binding, and also occurs in a conserved ZF-domain. Our bioinformatics analysis determined potential variants that may lead to development of cardiac diseases, as well as reinforced the importance of KLF analysis in vitro and in vivo.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Kruppel-like Factors; Structural and functional impact; Zinc-fingers; in silico analysis

Mesh:

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Year:  2018        PMID: 29408733     DOI: 10.1016/j.gene.2018.01.085

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  1 in total

Review 1.  Kruppel-Like Factor 15 Is Critical for the Development of Left Ventricular Hypertrophy.

Authors:  Sheila K Patel; Jay Ramchand; Vincenzo Crocitti; Louise M Burrell
Journal:  Int J Mol Sci       Date:  2018-04-27       Impact factor: 5.923

  1 in total

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